Amit Pathak

2.9k total citations · 1 hit paper
75 papers, 2.1k citations indexed

About

Amit Pathak is a scholar working on Cell Biology, Biomedical Engineering and Surgery. According to data from OpenAlex, Amit Pathak has authored 75 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Cell Biology, 23 papers in Biomedical Engineering and 19 papers in Surgery. Recurrent topics in Amit Pathak's work include Cellular Mechanics and Interactions (34 papers), 3D Printing in Biomedical Research (20 papers) and Force Microscopy Techniques and Applications (6 papers). Amit Pathak is often cited by papers focused on Cellular Mechanics and Interactions (34 papers), 3D Printing in Biomedical Research (20 papers) and Force Microscopy Techniques and Applications (6 papers). Amit Pathak collaborates with scholars based in United States, India and United Kingdom. Amit Pathak's co-authors include Sanjay Kumar, Robert M. McMeeking, V.S. Deshpande, Christopher S. Chen, Michael T. Yang, Wesley R. Legant, Christopher Walter, Malay Sharma, Gregory D. Longmore and A.G. Evans and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Gastroenterology and PLoS ONE.

In The Last Decade

Amit Pathak

68 papers receiving 2.1k citations

Hit Papers

Independent regulation of tumor cell migration by matrix ... 2012 2026 2016 2021 2012 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Independent regulation of tumor cell migration by matrix stiffness and confinement
    2012 452 citations Amit Pathak, Sanjay Kumar Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Amit Pathak United States 20 1.1k 1.0k 450 354 268 75 2.1k
Justin D. Mih United States 12 972 0.9× 763 0.7× 291 0.6× 403 1.1× 303 1.1× 16 2.2k
Joost te Riet Netherlands 23 1.2k 1.1× 1.3k 1.3× 347 0.8× 655 1.9× 224 0.8× 36 2.8k
Heike Boehm Germany 22 1.2k 1.1× 1.2k 1.1× 209 0.5× 643 1.8× 268 1.0× 45 2.6k
Justin R. Tse United States 15 724 0.7× 632 0.6× 172 0.4× 345 1.0× 245 0.9× 63 1.7k
Andrew W. Holle Germany 19 887 0.8× 1.2k 1.1× 212 0.5× 397 1.1× 142 0.5× 33 2.0k
Delphine Gourdon United States 17 853 0.8× 569 0.6× 423 0.9× 411 1.2× 212 0.8× 19 2.0k
Lidan You Canada 30 905 0.8× 1.3k 1.3× 608 1.4× 1.3k 3.8× 347 1.3× 66 3.6k
Kyle H. Vining United States 13 683 0.6× 873 0.9× 220 0.5× 511 1.4× 282 1.1× 24 1.9k
Robert Mannix United States 17 1.2k 1.1× 1.5k 1.4× 299 0.7× 993 2.8× 166 0.6× 22 3.2k
Karina Kulangara United States 19 628 0.6× 927 0.9× 726 1.6× 539 1.5× 382 1.4× 32 2.6k

Countries citing papers authored by Amit Pathak

Since Specialization
Citations

This map shows the geographic impact of Amit Pathak's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Amit Pathak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amit Pathak more than expected).

Fields of papers citing papers by Amit Pathak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amit Pathak. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Amit Pathak. The network helps show where Amit Pathak may publish in the future.

Co-authorship network of co-authors of Amit Pathak

This figure shows the co-authorship network connecting the top 25 collaborators of Amit Pathak. A scholar is included among the top collaborators of Amit Pathak based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Amit Pathak. Amit Pathak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Bohnert, Kathryn L., et al.. (2025). Adipose stromal cells in the human rotator cuff are resistant to fibrotic microenvironmental cues. The Journal of Physiology. 603(23). 7567–7587. 1 indexed citations
2.
3.
Kumar, Awadhesh, et al.. (2024). Square & H metasurfaces for SPR Increasing in long Wave-IR absorber. Measurement. 240. 115615–115615. 3 indexed citations
4.
Yu, Hongsheng, et al.. (2024). Gradients in cell density and shape transitions drive collective cell migration into confining environments. Soft Matter. 21(4). 719–728. 2 indexed citations
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6.
Walter, Christopher, et al.. (2023). Reciprocal intra- and extra-cellular polarity enables deep mechanosensing through layered matrices. Cell Reports. 42(4). 112362–112362. 2 indexed citations
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Almeida, J. A. Afonso de, et al.. (2022). Nucleoli in epithelial cell collectives respond to tumorigenic, spatial, and mechanical cues. Molecular Biology of the Cell. 33(11). br19–br19. 7 indexed citations
9.
Price, Christopher C., et al.. (2021). Dynamic self-reinforcement of gene expression determines acquisition of cellular mechanical memory. Biophysical Journal. 120(22). 5074–5089. 29 indexed citations
10.
Barcellona, Marcos N., Bailey V. Fearing, Liufang Jing, et al.. (2020). Control of adhesive ligand density for modulation of nucleus pulposus cell phenotype. Biomaterials. 250. 120057–120057. 32 indexed citations
11.
Sarker, Bapi, et al.. (2018). Predicting Collective Migration of Cell Populations Defined by Varying Repolarization Dynamics. Biophysical Journal. 115(12). 2474–2485. 6 indexed citations
12.
Sharma, Malay, et al.. (2017). Endoscopic ultrasound of bile duct ascariasis (with video). Endoscopic Ultrasound. 6(3). 208–208. 5 indexed citations
13.
Walter, Christopher, et al.. (2017). Past matrix stiffness primes epithelial cells and regulates their future collective migration through a mechanical memory. Biomaterials. 146. 146–155. 128 indexed citations
14.
Pathak, Amit, et al.. (2016). Topographic confinement of epithelial clusters induces epithelial-to-mesenchymal transition in compliant matrices. Scientific Reports. 6(1). 18831–18831. 47 indexed citations
15.
Sharma, Malay, et al.. (2016). Imaging of pancreas divisum by linear-array endoscopic ultrasonography. Endoscopic Ultrasound. 5(1). 21–21. 15 indexed citations
16.
Pathak, Amit & Sanjay Kumar. (2013). Transforming potential and matrix stiffness co-regulate confinement sensitivity of tumor cell migration. Integrative Biology. 5(8). 1067–1067. 47 indexed citations
17.
Pathak, Amit & Sanjay Kumar. (2012). Independent regulation of tumor cell migration by matrix stiffness and confinement. Proceedings of the National Academy of Sciences. 109(26). 10334–10339. 452 indexed citations breakdown →
18.
Pathak, Amit, et al.. (2011). Not Takotsubo: A Different Form of Stress-Induced Cardiomyopathy-A Case Series. Congestive Heart Failure. 17(1). 38–41. 42 indexed citations
19.
Sharma, Malay, et al.. (2010). An Unusual Endoscopic Ultrasound Image of the Common Bile Duct. Gastroenterology. 140(1). e5–e6. 1 indexed citations
20.
Sharma, Malay & Amit Pathak. (2009). Perforators of common bile duct wall in portal hypertensive biliopathy (with videos). Gastrointestinal Endoscopy. 70(5). 1041–1043. 22 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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